Zaslavsky, Noga

1. Deep Learning and the Information Bottleneck Principle
   2015/03/09 by Naftali Tishby, Noga Zaslavsky, Tishby, Naftali +1 · 1 voice · 140 citations
   #cs.LG
2. A Rate-Distortion view of human pragmatic reasoning
   2020/05/13 by Noga Zaslavsky, Jennifer Hu, Zaslavsky, Noga +3 · 3 citations
   Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Syntax, Semantics, Linguistic Variation
3. Semantic categories of artifacts and animals reflect efficient coding
   2019/05/11 by Noga Zaslavsky, Zaslavsky, Noga, Terry Regier +5 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Psychology · Social Sciences · #Categorization, perception, and language #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning in Bioinformatics
4. Probing artificial neural networks: insights from neuroscience
   2021/04/16 by Ivanova, Anna A., Hewitt, John, Zaslavsky, Noga · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Towards Human-Agent Communication via the Information Bottleneck Principle
   2022/06/30 by Mycal Tucker, Tucker, Mycal, Julie Shah +5 · 1 citation
   Social Sciences · #Language and cultural evolution